Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lukas Grundmann"'
Autor:
Nils L. Johannsen, Max Schurwanz, Lukas Grundmann, Jan Mietzner, Dirk Manteuffel, Peter A. Hoeher
Publikováno v:
IEEE Access, Vol 12, Pp 168557-168567 (2024)
The anticipated trends in mobility, either autonomous driving or urban air mobility (UAM), require wireless services to achieve mandatory reliability and safety levels. The number of wireless systems already in-use, especially airborne, occupy regula
Externí odkaz:
https://doaj.org/article/34014d641c2e42d999b2eae024e6234d
Publikováno v:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC).
Autor:
Lukas Grundmann, Dirk Manteuffel
Publikováno v:
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI).
Publikováno v:
IEEE Journal of Radio Frequency Identification. 4:83-92
This paper presents a 24 GHz Radio Frequency IDentification (RFID) sensor tag including an optically transparent patch antenna and an RF circuit. These components are placed on a single efficient solar cell and the transparency is achieved by realizi
Autor:
Lukas Grundmann, Dirk Manteuffel
Publikováno v:
2022 16th European Conference on Antennas and Propagation (EuCAP).
Autor:
Lukas Grundmann, Dirk Manteuffel
Publikováno v:
2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI).
Publikováno v:
2021 15th European Conference on Antennas and Propagation (EuCAP).
A method is proposed to estimate the direction of arrival (DoA) of a traveling wave from characteristic mode weighting coefficients. These are obtained from the currents through the ports positioned on an antenna structure. The additional insight int
Antennas for wireless body area networks (WBAN) need to be modeled with adapted methods because the coupling with the body tissue does not allow for a clear separation between antenna and channel. Especially for dynamically varying on-body channels d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fa08755a0c69ca64d6abfb5ad2a0490
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783319231914
CAIP (1)
CAIP (1)
The extraction of scale invariant image features is a fundamental task for many computer vision applications. Features are localized in the scale space of the image. A descriptor is build for each feature which is used to determine the correspondence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::445c5fb77c463f24090cb2da30a84ed2
https://doi.org/10.1007/978-3-319-23192-1_31
https://doi.org/10.1007/978-3-319-23192-1_31